genRandomPar {blockmodeling}

The function for generating random partitions

Description

The function generates random partitions. The function is meant to be called by the function optRandomParC.

Usage

genRandomPar(
  k,
  n,
  seed = NULL,
  mingr = 1,
  maxgr = Inf,
  addParam = list(genPajekPar = TRUE, probGenMech = NULL)
)

Arguments

k

Number of clusters (by modes).

n

Number of units (by modes).

seed

Seed for generating random numbers (partitions).

mingr

Minimal allowed group size.

maxgr

Maximal allowed group size.

addParam

This has to be a list with the following parameters (any or all can be missing, then the default values (see usage) are used):
"genPajekPar" - Should the partitions be generated as in Pajek (Batagelj & Mrvar, 2006). If FALSE, all partitions are selected completely at random while making sure that the partitions have the required number of clusters.
probGenMech - Here the probabilities for 4 different generating mechanisms can be specified. If this is not specified, the value is set to c(1/3, 1/3, 1/3, 0) if genPajekPar is TRUE and to c(0, 0, 0, 1) if genPajekPar is FALSE. The first 3 mechanisms are the same as implemented in Pajek (the second one has almost all units in only one cluster) and the fourth is completely random (from uniform distribution).

Value

A random partition in the format required by optRandomParC. If a network has several modes, then a list of partitions, one for each mode.

Author(s)

Aleš Žiberna

References

Batagelj, V., & Mrvar, A. (2006). Pajek 1.11. Retrieved from http://vlado.fmf.uni-lj.si/pub/networks/pajek/